3 papers
cs.AI2026
Implementing Metric Temporal Answer Set Programming
Arvid Becker, Pedro Cabalar, Martin Diéguez +3
We develop a computational approach to Metric Answer Set Programming (ASP) to allow for expressing quantitative temporal constraints, like durations and deadlines. A central challe…
cs.AI2025
Compiling Metric Temporal Answer Set Programming
Arvid Becker, Pedro Cabalar, Martin Diéguez +3
We develop a computational approach to Metric Answer Set Programming (ASP) to allow for expressing quantitative temporal constrains, like durations and deadlines. A central challen…
cs.AI2024
plingo: A system for probabilistic reasoning in clingo based on lpmln
Susana Hahn, Tomi Janhunen, Roland Kaminski +3
We present plingo, an extension of the ASP system clingo with various probabilistic reasoning modes. Plingo is centered upon LP^MLN, a probabilistic extension of ASP based on a wei…